生活方式评分与坦桑尼亚健康成年人的细胞免疫特征有关

IF 3.7 Q2 IMMUNOLOGY
Jeremia J. Pyuza , Marloes M.A.R. van Dorst , Koen Stam , Linda Wammes , Marion König , Vesla I. Kullaya , Yvonne Kruize , Wesley Huisman , Nikuntufya Andongolile , Anastazia Ngowi , Elichilia R. Shao , Alex Mremi , Pancras C.W. Hogendoorn , Sia E. Msuya , Simon P. Jochems , Wouter A.A. de Steenhuijsen Piters , Maria Yazdanbakhsh
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引用次数: 0

摘要

免疫系统和疫苗反应在全球不同地理位置之间存在差异,不仅在高收入国家和中低收入国家之间存在差异,而且在同一国家的农村人口和城市人口之间也存在差异。居住条件、接触微生物和寄生虫的机会以及饮食等生活方式因素与农村和城市生活息息相关。然而,这些生活方式因素与免疫特征之间的关系还没有被详细描述。在这里,我们使用质谱细胞计数法对生活在四个城乡结合部的 100 名健康坦桑尼亚人的免疫系统进行了分析。我们根据个人的家庭资产、住房条件和最近的饮食史制定了生活方式评分,并研究了其与细胞免疫特征的关联。在 80 个免疫细胞群中,有 17 个与居住地点或生活方式评分有关,其中有 8 个只能通过生活方式评分来识别。生活方式得分低的人大多数生活在农村,他们的 NK 细胞、浆细胞、非典型记忆 B 细胞、T 辅助 2 细胞、调节性 T 细胞和表达 CD38、HLA-DR 和 CTLA-4 的活化 CD4+ T 效应记忆细胞的频率较高。与此相反,生活方式得分高的人,其中大多数生活在城市地区,其免疫系统的激活状态较差,表现为幼稚的 CD8+ T 细胞频率较高。利用弹性网机器学习模型,我们确定了与生活方式得分最相关的细胞免疫特征。假设这些免疫特征与疫苗反应之间存在联系,那么这些特征可能会让我们了解疫苗反应不佳的细胞机制,以及中低收入国家自身免疫和过敏症减少的原因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lifestyle score is associated with cellular immune profiles in healthy Tanzanian adults
Immune system and vaccine responses vary across geographical locations worldwide, not only between high and low-middle income countries (LMICs), but also between rural and urban populations within the same country. Lifestyle factors such as housing conditions, exposure to microorganisms and parasites and diet are associated with rural-and urban-living. However, the relationships between these lifestyle factors and immune profiles have not been mapped in detail. Here, we profiled the immune system of 100 healthy Tanzanians living across four rural/urban areas using mass cytometry. We developed a lifestyle score based on an individual's household assets, housing condition and recent dietary history and studied the association with cellular immune profiles. Seventeen out of 80 immune cell clusters were associated with living location or lifestyle score, with eight identifiable only using lifestyle score. Individuals with low lifestyle score, most of whom live in rural settings, showed higher frequencies of NK cells, plasmablasts, atypical memory B cells, T helper 2 cells, regulatory T cells and activated CD4+ T effector memory cells expressing CD38, HLA-DR and CTLA-4. In contrast, those with high lifestyle score, most of whom live in urban areas, showed a less activated state of the immune system illustrated by higher frequencies of naïve CD8+ T cells. Using an elastic net machine learning model, we identified cellular immune signatures most associated with lifestyle score. Assuming a link between these immune profiles and vaccine responses, these signatures may inform us on the cellular mechanisms underlying poor responses to vaccines, but also reduced autoimmunity and allergies in low- and middle-income countries.
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来源期刊
Brain, behavior, & immunity - health
Brain, behavior, & immunity - health Biological Psychiatry, Behavioral Neuroscience
CiteScore
8.50
自引率
0.00%
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审稿时长
97 days
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